EP2254257A1 - Procédé et unité de traitement pour le traitement de signaux avec macro-diversité - Google Patents

Procédé et unité de traitement pour le traitement de signaux avec macro-diversité Download PDF

Info

Publication number
EP2254257A1
EP2254257A1 EP09160631A EP09160631A EP2254257A1 EP 2254257 A1 EP2254257 A1 EP 2254257A1 EP 09160631 A EP09160631 A EP 09160631A EP 09160631 A EP09160631 A EP 09160631A EP 2254257 A1 EP2254257 A1 EP 2254257A1
Authority
EP
European Patent Office
Prior art keywords
signal
signals
sir
cpich
time slot
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP09160631A
Other languages
German (de)
English (en)
Inventor
Ario Golshenas
Simon Hultgren
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Telefonaktiebolaget LM Ericsson AB
Original Assignee
Telefonaktiebolaget LM Ericsson AB
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Telefonaktiebolaget LM Ericsson AB filed Critical Telefonaktiebolaget LM Ericsson AB
Priority to EP09160631A priority Critical patent/EP2254257A1/fr
Priority to PCT/EP2010/056550 priority patent/WO2010133494A1/fr
Publication of EP2254257A1 publication Critical patent/EP2254257A1/fr
Withdrawn legal-status Critical Current

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/022—Site diversity; Macro-diversity
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/69—Spread spectrum techniques
    • H04B1/707—Spread spectrum techniques using direct sequence modulation
    • H04B1/7097—Interference-related aspects
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B2201/00—Indexing scheme relating to details of transmission systems not covered by a single group of H04B3/00 - H04B13/00
    • H04B2201/69—Orthogonal indexing scheme relating to spread spectrum techniques in general
    • H04B2201/707—Orthogonal indexing scheme relating to spread spectrum techniques in general relating to direct sequence modulation
    • H04B2201/70702—Intercell-related aspects

Definitions

  • the present invention relates to a method and a processing unit for processing signals. More particularly, the present invention relates to a method and processing unit for processing signals representing the same data, received over a plurality of communication channels of a communication system, for soft combining the signals.
  • MBMS multimedia broadcast multicast service
  • SCCPCH secondary common control physical channel
  • WCDMA wideband code-division multiple access
  • the mobile terminal can softcombine two or more of these signals for generating a combined signal.
  • the purpose of softcombining signals is that the combined signal should have a better quality, e.g. in terms of signal-to-interference ratio (SIR) and/or resulting bit-error rate (BER), than each of the signals individually.
  • SIR signal-to-interference ratio
  • BER bit-error rate
  • One problem associated with softcombining is how to select which of the plurality of signals to soft combine. If the signals are selected incorrectly, the combined signal may have a worse quality than at least one of the individual signals.
  • An object of the present invention is to provide means for selecting signals, to be softcombined, among a plurality of signals representing the same data.
  • a method of processing signals representing the same data, each of which is received over a corresponding one of a plurality of communication channels of a communication system.
  • Data is transmitted over each of the communication channels in transmission time intervals, each of which comprises at least one time slot.
  • Data transmitted in such a time slot comprises a control sequence selected from a finite predefined set of control sequences.
  • Each transmission time interval may comprises a plurality of frames, each comprising at least one time slot.
  • the steps a) - d) may be repeated at least once every frame.
  • the steps a) - d) may be repeated every time slot.
  • Estimating the bit-error rate of a signal may comprise interpreting a soft data sample of the signal above a threshold value as a logic '1'. Furthermore, estimating the bit-error rate of the signal may comprise interpreting a soft data sample of the signal below the threshold value as a logic '0'.
  • estimating the bit-error rate of a signal may comprise interpreting a soft data sample of the signal above a first threshold value as a logic '1'. Furthermore, estimating the bit-error rate of the signal may comprise interpreting a soft data sample of the signal below a second threshold value, which is lower than the first threshold value, as a logic '0'. Moreover, estimating the bit-error rate of the signal may comprise discarding a soft data sample of the signal between the second and the first threshold value.
  • the communication system may be a wideband code-division multiple access (WCDMA) communication system.
  • the communication channels may be secondary common control physical channels (SCCPCHs).
  • SCCPCHs secondary common control physical channels
  • the control sequence may be a transport format control indicator (TFCI), or a part thereof.
  • a method of processing signals, representing the same data, each of which is received over a corresponding one of a plurality of SCCPCHs in a WCDMA communication system comprises:
  • the steps A) - E) may be repeated at least once every frame.
  • the steps A) - E) may be repeated once every time slot.
  • a computer program product comprising computer program code means for executing the method according to the first or the second aspect when said computer program code means are run by a programmable hardware unit.
  • a computer readable medium having stored thereon a computer program product comprising computer program code means for executing the method according to the first or the second aspect when said computer program code means are run by a programmable hardware unit.
  • a signal-processing unit for a radio receiver circuit wherein the signal processing unit is adapted to perform the method according to the first or the second aspect.
  • a radio receiver circuit comprising a signal processing unit according to the fifth aspect.
  • an electronic apparatus comprising the radio receiver circuit according to the sixth aspect.
  • An advantage of embodiments of the present invention is that relatively fast changes in the radio environment can be accounted for when selecting which signals to softcombine.
  • FIG. 1 schematically illustrates an environment in which embodiments of the present invention may be utilized.
  • a mobile terminal (MT) 1 is arranged, in a communication system, to receive signals from a plurality of base stations (BSs) 2a-c over a plurality of communication channels 3a-c.
  • BSs base stations
  • Each of the signals represents the same data.
  • An example which is used for illustration of embodiments of the present invention, is broadcasting of multimedia broadcast multicast service (MBMS) data in a wideband code-division multiple access (WCDMA) communication system, wherein the communication channels 3a-c are secondary common control physical channels (SCCPCHs).
  • MBMS multimedia broadcast multicast service
  • WCDMA wideband code-division multiple access
  • SCCPCHs secondary common control physical channels
  • the same MBMS data such as mobile TV, may be broadcasted from each of the plurality of BSs 2a-c, e.g. in order to improve the reliability and/or geographical coverage of the transmission compared with if only one BS was used.
  • x 1 [ n ], x 2 [ n ], ... , x M [ n ] and x [ n ] are signals represented with soft bits.
  • the combined signal may, in some embodiments, be clipped such that, for those n for which the sum in Eq.
  • the soft bits may adopt integer values between and including -7 and 7, where -7 is the strongest representation of logic '0' and 7 is the strongest representation of logic 1. In that case, for those n for which the sum in Eq. 1 exceeds 7, x ( n ) is set to 7. Furthermore, for those n for which the sum in Eq. 1 falls below -7, x ( n ) is set to -7.
  • Embodiments of the present invention have been developed based on an insight that existing methods for selecting which signals to softcombine, e.g. in the context of multimedia broadcast multicast service (MBMS) signals received in a wideband code-division multiple access (WCDMA) communication system, may sometimes fail to accurately account for relatively rapid changes in the radio environment, such as due to fading and/or a changing interference situation.
  • MBMS multimedia broadcast multicast service
  • WCDMA wideband code-division multiple access
  • a solution is considered where the quality of a channel is estimated with a calculated Ec/No value of the common pilot channel (CPICH) of the cell that the SCCPCH channel is despread from, as well as a configured power offset difference (POD) value.
  • CPICH common pilot channel
  • POD power offset difference
  • the absolute Ec/No in dBm for any of the SCCPCH channels cannot be calculated.
  • the Ec/No power offset between the SCCPCH from a Cell A and the SCCPCH from a Cell B (secondary power offset, SPO B ) can be calculated.
  • the SPO B between the SCCPCH from Cell A and the SCCPCH from Cells is calculated from the CPICH Ec/No for CellA ( EcNo CPICH A ) and the CPICH Ec/No for CellB ( EcNo CPICH B ) as well as the parameter secondary CCPCH power offset difference ( POD B ), which is a parameter that is received from the network.
  • the POD B parameter is signaled by the network and specifies, in dB, the difference between the CPICH-SCCPCH Ec/No power offset (PO) between Cell A and Cell B as PO Cell B-PO Cell A .
  • the SPO values are used to decide which channels to soft combine; any channel that has too large power offset compared to the strongest channel is excluded.
  • a drawback that has been identified with the solution of the reference example is that the decision regarding which cells to soft combine cannot be taken more frequently than the measurement interval for the received signal code power (RSCP) and the received signal strength indication (RSSI), on which the determination of the Ec/No is based.
  • RSCP received signal code power
  • RSSI received signal strength indication
  • Fig. 2 is a block diagram of an MT 1 according to an embodiment of the present invention.
  • the MT 1 has an antenna 5 for transmitting and receiving radio signals.
  • the antenna 5 is only an example. In other embodiments, the MT 1 may have a plurality of antennas.
  • the MT 1 comprises a radio receiver circuit 10 for receiving data and a radio transmitter circuit 15 for transmitting data.
  • the MT 1 comprises a central processing unit (CPU) 20 for overall control of the MT 1.
  • the CPU 2 is operatively connected to the radio receiver circuit 10 and the radio transmitter circuit 20.
  • the MT 1 comprises a number of output units, such as a display 25 and a speaker 30, and a number of input units, such as a microphone 35, a camera 40, and a keyboard 45, for interaction with a user.
  • a number of output units such as a display 25 and a speaker 30, and a number of input units, such as a microphone 35, a camera 40, and a keyboard 45, for interaction with a user.
  • the block diagram in Fig. 2 is only an example.
  • some units in Fig. 2 may be omitted in some embodiments and/or additional units may be included.
  • the units in Fig. 2 have been illustrated as separate units, some units, or parts thereof may be implemented as combined units.
  • the keyboard 45 may be implemented in combination with the display 25 as a touch screen.
  • parts of the radio receiver circuit 10 and/or the radio transmitter circuit 20, may be implemented in the CPU 20.
  • Fig. 3 is a block diagram of the radio receiver circuit 10 according to an embodiment of the present invention.
  • the radio receiver circuit 10 comprises receiver front end unit 70, which is arranged to downconvert radiofrequency (RF) signals received e.g. from the BSs 2a-c ( Fig. 1 ).
  • the receiver front end 70 may comprise one or more mixers (not shown), local oscillators (not shown), filters (not shown), etc, as is known in the art and therefore not further described in this specification.
  • RF radiofrequency
  • the radio receiver circuit 10 may comprise a rake receiver unit 75, a combiner unit 80, a deinterleaver unit 85, and a decoder unit 95 for equalization, demodulation, and decoding of the received signals. Such units are known in the field of WCDMA receivers, and are therefore not further described in this specification. Multiple arrows at the outputs of blocks 75, 80, and 85 indicate that the signals received from the plurality of base stations 2a-c are processed separately in these blocks. Furthermore, according to the embodiment illustrated in Fig. 3 , the radio receiver circuit 10 comprises a signal processing unit (SPU) 90.
  • SPU signal processing unit
  • the SPU 90 is arranged to perform softcombining of the signals, in order to generate one combined signal (as indicated by the single arrow at the output of the SPU 90 in Fig. 3 ), that has a higher quality, e.g. in terms of signal-to-interference ratio (SIR) and/or bit-error rate (BER) than the individual signals.
  • SIR signal-to-interference ratio
  • BER bit-error rate
  • Fig. 4 schematically illustrates transmission timing for a SCCPCH in a WCDMA communication system, when the SCCPCH is used for transmission of MBMS data.
  • each frame f_ i is in turn divided into 15 time slots s_1-s_15, each of which has a duration of T slot ⁇ 0.667 ms.
  • TTIs transmission-time intervals
  • a TTI comprises at least one time slot, as outlined above with reference to Fig. 1 .
  • a TFCI is transmitted in the beginning of each time slot s_1-s_15.
  • the TFCI is a bit sequence which identifies for the radio receiver circuit how the received signal in the time slot is to be deinterleaved and decoded for recovering the data.
  • the TFCI is selected from a finite predefined set of possible TFCIs.
  • payload data is also transmitted in the slot s_ i after the TFCI.
  • Fig. 5 is a flowchart of a method of processing signals according to an embodiment of the present invention.
  • the method may e.g. be performed by the SPU 90 in the embodiment of the radio receiver circuit 10 illustrated in Fig. 3 .
  • the signals represent the same data and are received over the plurality of communication channels 3a-c ( Fig. 1 ). Data is transmitted over each of the communication channels 3a-c in TTIs.
  • the communication channels may e.g. be SCCPCHs of a WCDMA system, the signals may represent MBMS data, and the TTIs may be the TTIs described in that context above. However, in a more general sense, which is not limited to that particular scenario, each of the TTIs may be defined as comprising at least one time slot.
  • data transmitted in a time slot comprises a control sequence selected from a finite predefined set of control sequences, such as the TFCI described above.
  • a TFCI (or other similar control sequence in another scenario) received by the radio receiver circuit 10 may be represented in the radio receiver circuit 10 with soft data, i.e. a sequence of soft bits, which can adopt not only values representing logic '0' and logic '1', but also values in between.
  • the received TFCI of each slot corresponds to one of the TFCIs of the predefined set, which one can be determined by means of determining correlation values between the received TFCI and the TFCIs in the predefined set.
  • the correlation value corresponding to the correct TFCI is normally significantly higher than the other correlation values, whereby the correct TFCI can be determined.
  • the summation is performed over all samples of the received TFCI.
  • Such correlation values may be defined in a similar manner for other types of control sequences, belonging to a finite predefined set of possible control sequences, which may be used in other scenarios.
  • step 100 For each of the received signals, correlation values between soft data representing the control sequence of the signal in a time slot of the corresponding communication channel and each of the finite predetermined set of control sequences are determined in step 110.
  • step 115 the control sequence of each signal in the time slot is determined based on the correlation values, as outlined above.
  • the soft data representing the control sequence may be converted into "hard data", i.e. a sequence of hard bits (or simply bits), which may only adopt values representing a logic '0' or a logic '1'.
  • a soft data sample above a threshold value may be interpreted as a logic '1', and a soft data sample below the threshold value may be interpreted as a logic '0'.
  • the interpretation of a soft data sample which is equal to the threshold value may be different from embodiment to embodiment.
  • the threshold value may be chosen between two adjacent possible values for the soft data samples, such that a soft data sample will never be equal to the threshold value.
  • a soft data sample above a first threshold value may be interpreted as a logic '1'.
  • a soft data sample below a second threshold value which is lower than the first threshold value, may be interpreted as a logic '0'.
  • a soft data sample of the signal between the second and the first threshold value may be interpreted as an unreliable bit, which is discarded for the purpose of estimating the BER.
  • the BER can be estimated by comparing the bits, which have been interpreted from the soft data representing the received control sequence, with the actual (known) bits of the control sequence, which have been determined based on the correlation values in step 115.
  • the estimate BER may e.g. be defined as the quotient between the number of samples of the comparison for which the interpreted bit differs from the actual bit and the total number of samples of the comparison.
  • the BER of the signal is estimated based on the determined control sequence of the signal in the time slot and the soft data representing the control sequence of the signal in the time slot in step 120, e.g. as outlined above.
  • the BER of the signal may be estimated based on the determined control sequences of the signal and the soft data representing the determined control sequences of the signal during more than one time slot.
  • the TFCI is to long to fit in the TFCI portion of a single time slot, and is therefore distributed over the TFCI portions of a plurality of consecutive time slots.
  • the TFCI is divided into several shorter control sequence, each of which is transmitted in the TFCI portion of one of said consecutive time slots.
  • the BER estimation may be based on the control sequences of all of these consecutive time slots (i.e. be based on the whole TFCI).
  • the estimated BERs of the signals can be used as quality metrics for the signals; the lower the estimated BER is, the higher the quality is. Which signals to softcombine may therefore be determined based on the estimated BERs. Whether or not a combined signal, generated by softcombining two signals, has a higher quality (such as a smaller BER or higher SIR) than both of the two signals individually normally depends on the quality difference between the two signals. If the quality difference is within a certain limit, the quality of the combined signal is higher than the quality of each of the two signals individually. On the other hand, if the quality difference is outside said certain limit, the quality of the combined signal is lower than that of the one of the two signals that has the highest quality. In the latter case, nothing is gained by softcombining the two signals, and it is better to use the one of the two signals that has the highest quality instead of the combined signal.
  • the one of the signals having the lowest estimated BER is selected as a primary signal.
  • a secondary set of signals, selected from the remaining signals is determined.
  • the signals in the secondary set each has an estimated BER which deviates from the estimated BER of the primary signal with less than a predetermined threshold value.
  • a suitable threshold value may e.g. be determined based on simulations and/or measurements, such that the combined signal has a higher quality than the individual signals that are subject to softcombining.
  • the threshold value may be dynamically adapted, e.g. based on the radio conditions.
  • the threshold value may be a function of the BER of the primary signal.
  • the primary signal and the signals in the secondary set is softcombined in step 150 for generating a combined signal.
  • the operation of the method is ended in step 160.
  • An advantage of embodiments of the method described above with reference to Fig. 5 is that, since the control sequence (such as TFCI in the case of MBMS signals transmitted over a SCCPCH in WCDMA) is present in every time slot, it is possible to update the estimated BER values relatively often. Thereby, it is possible to relatively rapidly adapt which signals are to be softcombined, and thus account for relatively rapid changes in the radio environment, e.g. due to fading and/or interference from other radio signals.
  • the method illustrated by the flow chart is in Fig. 5 is repeated every time slot.
  • each TTI comprises a plurality of frames, each comprising at least one time slot (such as illustrated for the SCCPCH in WCDMA in Fig. 4 )
  • the method illustrated by the flow chart is in Fig. 5 is repeated at least once every frame.
  • Fig. 6 is a flowchart for step 140 ( Fig. 5 ) according to an embodiment.
  • the secondary set is empty.
  • the operation of step 140 is started in step 200.
  • step 210 a new signal is selected for comparison with the primary signal.
  • step 220 the BER difference ⁇ BER between the primary signal and the signal selected for comparison is determined.
  • step 230 ⁇ BER is compared with the threshold value ⁇ BTH . If ⁇ BER ⁇ ⁇ BTH , the signal selected for comparison is added to the secondary set in step 240, after which the operation proceeds to step 250. Otherwise, the operation proceeds directly to step 250.
  • step 250 it is checked whether there are any more signals to compare. If not, the operation proceeds to step 260, where step 140 is ended. Otherwise, the operation returns to step 210.
  • the plurality of communication channels 3a-c are SCCPCHs of a WCDMA communication system
  • the plurality of communication channels 3a-c are SCCPCHs of a WCDMA communication system
  • SIR values for the corresponding CPICHs, the spreading factors of the SCCPCHs, and power offset differences (PODs) between the SCCPCHs over which the signals are sent are utilized to estimate the quality differences between the signals in order to select which signals to softcombine.
  • the SIR of the CPICH is normally continuously monitored or measured in the MT 1.
  • ⁇ SIR CPICH_SIR I ⁇ SF I 256 - CPICH_SIR II ⁇ SF II 256 + POD
  • CPICH_SIR I denotes the SIR of the CPICH of the cell from which the first signal is sent
  • SF I denotes the spreading factor associated with the first signal
  • CPICH _ SIR II denotes the SIR of the CPICH of the cell from which the second signal is sent
  • SF II denotes the spreading factor of the second signal.
  • POD denotes the signaled power offset difference between the SCCPCHs over which the first and the second signals are sent.
  • the ⁇ SIR given by the equation above is given in dB scale (i.e. a logarithmic scale).
  • the denominator 256 that appears in the equation above is the spreading factor of the CPICH.
  • Fig. 7 is a flowchart for an embodiment of the method. The method may e.g. be performed by the SPU 90 in the embodiment of the radio receiver circuit 10 illustrated in Fig. 3 .
  • the operation is started in step 300.
  • the SIR of the CPICH of the cell from which the signal is sent is determined in step 310.
  • a spreading factor associated with the signal i.e. the spreading factor of the SCCPCH over which the signal is transmitted, is determined in step 320.
  • the method includes determining values representing SIR differences, in logarithmic scale, between signals. Such a value representing an SIR difference between a first and a second one of the signals is based on the SIR of the CPICH of the cell from which the first signal is sent, the spreading factor associated with the first signal, the SIR of the CPICH of the cell from which the second signal is sent, the spreading factor associated with the second signal, and the signaled POD between the SCCPCH over which the first signal is received and the SCCPCH over which the second signal is received.
  • the value may e.g. be determined by Eq. 3 above.
  • the determined values are utilized in step 330-340 described below. The determination of the values is not illustrated with a separate step in the flowchart of Fig. 7 . At least part of the determination of the values may be performed as a part of step 330. Additionally, part of the determination of the values may be performed as a part of step 340.
  • a primary signal is determined based on the values representing the SIR differences.
  • the primary signal has the highest SIR among the signals.
  • a secondary set of signals is determined based on the values representing the SIR differences.
  • said values representing the SIR differences indicate that the SIR difference between the primary signal and said signal in the secondary set is less than a predetermined threshold value.
  • a suitable threshold value may e.g. be determined based on simulations and/or measurements, such that the combined signal has a higher quality than the individual signals that are subject to softcombining.
  • step 350 the primary signal and the signals in the secondary set are softcombined for generating a combined signal.
  • step 360 the operation is ended in step 360.
  • the method illustrated in Fig. 7 is repeated once every time slot according to some embodiments. Furthermore, again similarly to the method illustrated in Fig. 5 , the method illustrated in Fig. 7 is repeated at least once every frame according to some embodiments.
  • Fig. 8 is a flowchart of step 330 according to an embodiment.
  • the values representing the SIR differences between signals are determined in step 330.
  • the operation of step 330 is started in step 400.
  • an initial primary signal is selected.
  • a new signal is selected for comparison with the current primary signal.
  • the SIR difference ⁇ SIR between the current primary signal and the signal selected for comparison is determined, e.g. based on Eq. 3.
  • step 430 it is checked whether the determined ⁇ SIR is less than 0 (or, in alternative embodiments, less than or equal to 0).
  • step 440 If the answer in step 440 is yes, the signal selected for comparison has a better SIR (or in the alternative embodiments, equal or better) than the current primary signal. Therefore, the signal selected for comparison replaces the current primary signal as the primary signal in step 440, after which the operation proceeds to step 450. If the answer in step 430 is no, the operation proceeds directly to step 450.
  • a record is kept over SIR differences between the current primary signal and the other signals that have been subject to comparison.
  • this record is updated. If a new primary signal has been set in step 440, the previous entries in the record is updated based on the ⁇ SIR determined in step 420 and the previous entries, such that these entries reflect the SIR differences between the new primary signal and the signals that have been subject to comparison so far, and - ⁇ SIR is entered as a new entry indicating the SIR difference between the new primary signal and the previous primary signal. If, on the other hand, the answer in step 430 was no, the record is updated in step 450 by inserting ⁇ SIR as a new entry indicating the SIR difference between the current primary signal and the signal selected for comparison in step 410.
  • step 460 it is checked whether there are any more signals to compare. If the answer in step 460 is yes, the operation returns to step 410. If the answer in step 460 is no, the operation of step 330 is ended in step 470.
  • the current primary signal is the correct primary signal, i.e. the one of the signals having the highest SIR.
  • the correct primary signal i.e. the one of the signals having the highest SIR.
  • the SPU 90 (Fig. 90) may be adapted to perform any of the embodiments of the methods described above.
  • the SPU 90 may be implemented as an application-specific hardware unit, such as an application-specific integrated circuit (ASIC).
  • the SPU 90, or parts thereof, may be implemented using one or more configurable or programmable hardware units, such as but not limited to one or more field-programmable gate arrays (FPGAs), processors, or microcontrollers.
  • FPGAs field-programmable gate arrays
  • the functionality of the SPU 90 may be implemented in the CPU 20 ( Fig. 2 ).
  • embodiments of the present invention may be embedded in a computer program product, which enables implementation of the method and functions described herein, e.g. the embodiments of the methods described above with reference to Figs. 5-8 .
  • a computer program product comprising instructions arranged to cause a programmable hardware unit with processing capabilities, such as the aforementioned one or more processors or micro controllers, to perform the steps of any of the embodiments of the methods described above with reference to Figs. 5-8 .
  • the computer program product may comprise program code which is stored on a computer readable medium 500, as illustrated in Fig. 9 , which can be loaded and executed by a programmable hardware unit 410 having processing capabilities, to cause it to perform the steps of any of the embodiments of the methods described above with reference to Figs. 5-8 .
  • the radio receiver circuit 10 is comprised in an electronic apparatus, such as the MT 1 ( Fig. 2 ).
  • an electronic apparatus may e.g. be, but is not limited to, a mobile telephone, a smartphone, a portable digital assistant, a computer, or a data modem, such as a PC card data modem.
EP09160631A 2009-05-19 2009-05-19 Procédé et unité de traitement pour le traitement de signaux avec macro-diversité Withdrawn EP2254257A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
EP09160631A EP2254257A1 (fr) 2009-05-19 2009-05-19 Procédé et unité de traitement pour le traitement de signaux avec macro-diversité
PCT/EP2010/056550 WO2010133494A1 (fr) 2009-05-19 2010-05-12 Procédé et unité de traitement pour traiter des signaux avec macrodiversité

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
EP09160631A EP2254257A1 (fr) 2009-05-19 2009-05-19 Procédé et unité de traitement pour le traitement de signaux avec macro-diversité

Publications (1)

Publication Number Publication Date
EP2254257A1 true EP2254257A1 (fr) 2010-11-24

Family

ID=41134666

Family Applications (1)

Application Number Title Priority Date Filing Date
EP09160631A Withdrawn EP2254257A1 (fr) 2009-05-19 2009-05-19 Procédé et unité de traitement pour le traitement de signaux avec macro-diversité

Country Status (2)

Country Link
EP (1) EP2254257A1 (fr)
WO (1) WO2010133494A1 (fr)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2415330A (en) 2004-06-17 2005-12-21 Siemens Ag Determining neighbour cell selection
US20060146745A1 (en) * 2005-01-05 2006-07-06 Zhijun Cai Method and apparatus for scheduling and synchronizing a multimedia broadcast/multicast service
WO2006108703A1 (fr) 2005-04-14 2006-10-19 Telefonaktiebolaget Lm Ericsson (Publ) Selection de cellules dans des environnements de communications de diffusion et de multidiffusion
WO2006137592A1 (fr) * 2005-06-23 2006-12-28 Nec Corporation Agencement de combinaison logicielle de services multidiffusion de diffusion multimedia (mbms)

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2415330A (en) 2004-06-17 2005-12-21 Siemens Ag Determining neighbour cell selection
US20060146745A1 (en) * 2005-01-05 2006-07-06 Zhijun Cai Method and apparatus for scheduling and synchronizing a multimedia broadcast/multicast service
WO2006108703A1 (fr) 2005-04-14 2006-10-19 Telefonaktiebolaget Lm Ericsson (Publ) Selection de cellules dans des environnements de communications de diffusion et de multidiffusion
WO2006137592A1 (fr) * 2005-06-23 2006-12-28 Nec Corporation Agencement de combinaison logicielle de services multidiffusion de diffusion multimedia (mbms)

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
AHO K ET AL: "Performance Enhancement of Multimedia Broadcast Multicast Service (MBMS) with Receive Diversity", NETWORKING, 2007. ICN '07. SIXTH INTERNATIONAL CONFERENCE ON, IEEE, PI, 22 April 2007 (2007-04-22), pages 86, XP031214537, ISBN: 9780769528052 *
CHRISTOPH A JOTTEN ET AL: "Performance Evaluation of Multicast/Broadcast Single Frequency Network Operation for WCDMA", SPREAD SPECTRUM TECHNIQUES AND APPLICATIONS, 2008. ISSSTA '08. IEEE 10TH INTERNATIONAL SYMPOSIUM ON, IEEE, PISCATAWAY, NJ, USA, 25 August 2008 (2008-08-25), pages 79 - 84, XP031318987, ISBN: 9781424422036 *
JANNE KURJENNIEMI ET AL: "System Level Analysis of Dynamic Receiver Reconfiguration for MBMS on S-CCPCH", IEEE INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS. PIMRC, IEEE; PI, XX, 1 September 2007 (2007-09-01), pages 1 - 5, XP031168854, ISBN: 9781424411436 *
KARI AHO ET AL: "Multimedia Broadcast Multicast Service Performance and its Enhancements in WCDMA Networks", WIRELESS PERSONAL COMMUNICATIONS, KLUWER ACADEMIC PUBLISHERS, DO, vol. 46, no. 2, 2 November 2007 (2007-11-02), pages 115 - 142, XP019617228, ISSN: 1572-834X *

Also Published As

Publication number Publication date
WO2010133494A1 (fr) 2010-11-25

Similar Documents

Publication Publication Date Title
US9380470B2 (en) Determining a receiving quality in a radio communication device
US8060091B2 (en) Transfer rate measurements
CN101536353B (zh) 用于mimo系统中基于导频模式控制信令的方法和装置
JP4528193B2 (ja) 誤り訂正復号方法、通信装置、及び、デジタル伝送システム
EP2537305B1 (fr) Estimation de canal assistée par des données
EP2367385B1 (fr) Technique pour contrôle automatique de gain dans un système de communication multi-porteuse
EP2810508B1 (fr) Rapport d'informations d'état de canal à multiplexage temporel dans un système de communication sans fil multi-antennes
CN102742177A (zh) 闭环发射分集系统中的天线切换
JP2007511150A (ja) 通信システムでマクロダイバーシチとタイムスロットの再利用とを結合する方法及び装置
US9781611B2 (en) Boosted, dedicated reference signal
EP1555767A1 (fr) Récepteur en diversité avec commutation d'antennes pour communication AMRC
CN104584654A (zh) 用于多天线通信系统中的导频功率分配的方法和装置
EP1557963A2 (fr) Système, procédé et appareil de radio communication pour sélection d'antenne
EP2180604A1 (fr) Procédés et systèmes pour sélectionner le nombre de flux de données mimo
KR101434848B1 (ko) 견고하고 성능 최적의 소프트 결합을 통한 향상된 ｍｂｍｓ 용량 및 링크 관리를 위한 방법 및 장치
EP2266243B1 (fr) Sélection de combinaisons d'antennes virtuelles et de bandes de fréquences de complexité réduite
US8781424B2 (en) Radio receiver apparatus of a cellular radio network
US8520782B2 (en) Receiver power reduction methods and apparatus
EP2015476B1 (fr) Dispositif de communication mobile et procédé de création des informations concernant la qualité de réception
EP2254257A1 (fr) Procédé et unité de traitement pour le traitement de signaux avec macro-diversité
CN101335560A (zh) 无线通信设备、程序和无线通信方法
CN100586206C (zh) 在宽带码分多址(wcdma)系统中接收站点选择分集发送(ssdt)信号的方法和设备
CN103188802A (zh) 上行控制信道的目标通道的选取方法及装置

Legal Events

Date Code Title Description
PUAI Public reference made under article 153(3) epc to a published international application that has entered the european phase

Free format text: ORIGINAL CODE: 0009012

AK Designated contracting states

Kind code of ref document: A1

Designated state(s): AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO SE SI SK TR

17P Request for examination filed

Effective date: 20110518

17Q First examination report despatched

Effective date: 20120927

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: THE APPLICATION HAS BEEN WITHDRAWN

18W Application withdrawn

Effective date: 20160907